HDF and HDF-EOS Workshop XVII (2014) Nawajish Noman

1. 2014 ESIP Summer Meeting
July 8–11, 2014 | Frisco, Colorado
Advancing Scientific Data Support
in
ArcGIS
Nawajish Noman

2. • ArcGIS and Scientific Data
• Ingest and aggregation
• Visualization and Analysis
• Service, Ready-to-Use Maps, Web Applications
• Extending Analytical Capabilities using Python
• OPeNDAP and Future Direction
Outline

3. ArcGIS
Online Content
and Services
Desktop Web Device
Server
ArcGIS Platform

4. Scientific Data
• Stored in netCDF, GRIB, and HDF formats
• Multidimensional
• Ocean data
Sea temperature, salinity, ocean current
• Weather data
Temperature, humidity, wind
• Land
Soil moisture, NDVI, land cover

5. ArcGIS
direct ingest
data
management
visualizationanalysis
share
Scientific Data in ArcGIS - Vision

6. • Directly reads netCDF file using
o Make NetCDF Raster Layer
o Make NetCDF Feature Layer
o Make NetCDF Table View
• Directly reads HDF and GRIB data as raster
Ingesting Scientific data in ArcGIS

7. What about Aggregation?
• Create a seamless multi-dimensional cube from
o files representing different regions
o files representing different time steps/slices

8. • Supports netCDF, HDF and GRIB
o Spatial Aggregation
o Temporal Aggregation
o On-the-fly analysis
• Accessible as Map Service
• Accessible as Image Service
• Supports direct ingest
• Eliminates data conversion
• Eliminates data processing
• Improves workflow performance
• Integrates with service oriented architecture
Scientific data support in Mosaic Dataset

9. Multidimensional Mosaic Datasets
• Raster Types for netCDF, HDF & GRIB
• Define variables when adding Rasters
• Each Row is a 2D Raster with variables and dimension values
• Define on-the-fly processing
• Serve as Multidimensional
o Image Service
o Map Service
o WMS
Aggregate (mosaic) spatial, time, and vertical dimensions

10. Behaves the same as any layer or table
• Display
o Same display tools for raster and feature layers will work on multi-
dimensional netCDF raster and netCDF feature layers.
• Graphing
o Driven by the table just like any other chart.
• Animation
o Multi-dimensional data can be animated through time dimension
• Analysis Tools
o Will work just like any other raster layer, feature layer, or table. (e.g.
create buffers around netCDF points, reproject rasters, query tables, etc.)
Using Scientific Data in ArcGIS

11. Multidimensional Mosaic Dataset - Visualization
• Visualize temporal change of a variable
• Visualize a variable at any vertical dimension
• Visualize flow direction and magnitude variables

12. • New Vector Field renderer for raster
o Supports U-V and Magnitude-direction
o Dynamic thinning
o On-the-fly vector calculation
• Eliminates raster to feature conversion
• Eliminates data processing
• Improves workflow performance
Visualization of Raster as Vectors

13. • Several hundreds analytical tools available for raster, features, and
table
• Temporal Modeling
o Looping and iteration in ModelBuilder and Python
Spatial and Temporal Analysis

14. Modeling with Raster function template (RFT)
•
•
•
o
o
o
o

15. • Map Service (supports WMS)
o Makes maps available to the web.
• Image Service (supports WMS)
o Provides access to raster data through a web service.
• Geoprocessing Service
o Exposes the analytic capability of ArcGIS to the web.
• Map Package
o To share complete map documents and the data referenced by the
layer it contains.
• Geoprocessing Package
o To share your geoprocessing workflow.
Sharing / WMS Support (for multi-dimensions)

16. Publishing a WMS on ArcGIS Server
• Enable WMS capabilities on Service Editor or Manager

17. Multi-dimensional data support in WMS
• getCapabilities
o Supports time, elevation and other dimensions (e.g. depth)
• getMap
o Returns map for any dimension value
&DIM_<dimensionName>=<value>&
o Supports CURRENT for time dimension
&TIME=CURRENT&
• getFeatureInfo
o Returns information about feature for any dimension value

18. Multi-dimensional WMS in ArcMap
• Supports WMS layer like any other layer
• Animates a time enabled WMS layer using time-slider
• Slices for any dimension value are accessible with ArcObjects
Public Sub UpdateWMSServiceLayerDimensionValue()
'UID for wms service layer type
Dim pUid As New uid
pUid = "{27ABB9EC-7A26-4cf8-8BD4-70EC1D274E17}"
Dim pWMSMapLayer2 As IWMSMapLayer2
'calling a function to find the layer from active dataframe
Set pWMSMapLayer2 = GetLayer(pUid, "myWMSLayer")
'setting values to dimensions
Dim pDimNameValues As IPropertySet
Set pDimNameValues = New PropertySet
pDimNameValues.SetProperty "Depth", "500" 'dimension#1
pDimNameValues.SetProperty "T1", "500" 'dimension#2
Set pWMSMapLayer2.DimensionValues = pDimNameValues
'calling a function to redraw the layer
RefreshActiveDataFrame
End Sub

19. WMS in Dapple Earth Explorer

20. Multi-dimensional WMS in a Web Application
http://dtc-sci01.esri.com/MultiDimWMSViewer/
Depth
Time

21. ArcGIS Online
• Curated, authoritative content provided by Esri
o Ready To Use
o Highly scalable
o Global to National
• Authoritative content provided by the community
o Hosted in your ArcGIS Online Organization account
o Hosted on your hardware and shared to ArcGIS Online
> 100 Tb of data
> 150 millions maps per day

22. Ready-to-Use Maps
http://www.arcgis.com/features/maps/index.html

23. Ready-To-Use Analysis Services
• Esri hosted analysis on Esri hosted data
o Simplify job of GIS Professionals
o Can be used in models and scripts
just like any other tool
o Extend spatial analysis to a
much broader audience
o Available in Desktop or as REST service
Best practices published to the Resource Center

24. • GLDAS Noah Land Surface Model Outputs
o Evapotranspiration
o Soil Moisture
o Snow Pack
o Other
Ready-to-Use Scientific Data Maps

25. Web Application

26. Web Application

27. • netCDF4-python and SciPy are included in 10.3/Pro
Supplemental tools
• OPeNDAP to NetCDF
• Make NetCDF Regular Point Layer
• Make NetCDF Station Point Layer
• Make NetCDF Trajectory Point Layer
• Describe Multidimensional Dataset
• Get Variable Statistics
• Get Variable Statistics Over Dimension
• Multidimensional Zonal Statistics
• Multidimensional Zonal Statistics As Table
http://blogs.esri.com/esri/arcgis/2013/05/24/introducing-the-multidimension-supplemental-tools-2/
Python and Geoprocessing Tools

28. Create Space-Time Cube & Emerging Hot Spot Analysis

29. Creating your own tool

30. OPeNDAP to NetCDF

31. • Ingest OPeNDAP Service
• Output dynamic multidimensional
raster
• Support Sub-setting
Next: Make OPeNDAP Layer

32. Tell the story of your scientific data – Create Story Maps
http://dtc-sci01.esri.com/DeadZoneStoryMap/